Circulating tumor DNA: current implementation issues and future challenges for clinical utility
Abstract: Over the past decades, liquid biopsy, especially circulating tumor DNA (ctDNA), has received tremendous attention as a noninvasive detection approach for clinical applications, including early diagnosis of cancer and relapse, real-time therapeutic efficacy monitoring, potential target selection and investigation of drug resistance mechanisms. In recent years, the application of next-generation sequencing technology combined with AI technology has significantly improved the accuracy and sensitivity of liquid biopsy, enhancing its potential in solid tumors. However, the increasing integration of such promising tests to improve therapy decision making by oncologists still has complexities and challenges. Here, we propose a conceptual framework of ctDNA technologies and clinical utilities based on bibliometrics and highlight current challenges and future directions, especially in clinical applications such as early detection, minimal residual disease detection, targeted therapy, and immunotherapy. We also discuss the necessities of developing a dynamic field of translational cancer research and rigorous clinical studies that may support therapeutic strategy decision making in the near future.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Circulating tumor DNA: current implementation issues and future challenges for clinical utility ; volume:62 ; number:11 ; year:2024 ; pages:2094-2110 ; extent:17
Clinical chemistry and laboratory medicine ; 62, Heft 11 (2024), 2094-2110 (gesamt 17)
- Creator
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Hu, Qilin
Chen, Lujun
Li, Kerui
Liu, Ruotong
Sun, Lei
Han, Tao
- DOI
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10.1515/cclm-2023-1157
- URN
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urn:nbn:de:101:1-2409281609195.870904619915
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hu, Qilin
- Chen, Lujun
- Li, Kerui
- Liu, Ruotong
- Sun, Lei
- Han, Tao
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